Zudi Lin

According to our database1, Zudi Lin authored at least 14 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction.
CoRR, 2022

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN.
CoRR, 2022

Revisiting RCAN: Improved Training for Image Super-Resolution.
CoRR, 2022

2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.
CoRR, 2021

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation.
CoRR, 2021

Asymmetric 3D Context Fusion for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
White-Box Adversarial Defense via Self-Supervised Data Estimation.
CoRR, 2019

FDive: Learning Relevance Models Using Pattern-based Similarity Measures.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019


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